Update README.md

README.md

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 # Model Card for Astro-HEP-BERT
 
-**Astro-HEP-BERT** is a bidirectional transformer designed primarily to generate contextualized word embeddings for analyzing conceptual change in astrophysics and high-energy physics (HEP). Built upon Google's `bert-base-uncased`, the model underwent additional training for three epochs using approximately 21.5 million paragraphs extracted from around 600,000 scholarly articles sourced from arXiv, all pertaining to astrophysics and/or high-energy physics (HEP). The sole training objective was masked language modeling.
+**Astro-HEP-BERT** is a bidirectional transformer designed primarily to generate contextualized word embeddings for computational conceptual analysis in astrophysics and high-energy physics (HEP). Built upon Google's `bert-base-uncased`, the model underwent additional training for three epochs using 21.84 million paragraphs found in more than 600,000 scholarly articles sourced from arXiv, all pertaining to astrophysics and/or high-energy physics (HEP). The sole training objective was masked language modeling.
 
 The Astro-HEP-BERT project embodies the spirit of a tabletop experiment or grassroots scientific effort. It exclusively utilized open-source inputs during training, and the entire training process was completed on a single MacBook Pro M2/96GB in 48 days for 3 epochs. This project stands as a proof of concept, showcasing the viability of employing a bidirectional transformer for research ventures in the history, philosophy, and sociology of science (HPSS) even with limited financial resources.
 
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 ## Model Details
 
 - **Developer:** <a target="_blank" rel="noopener noreferrer" href="https://www.tu.berlin/en/hps-mod-sci/arno-simons">Arno Simons</a>
-- **Funded by:** European Research Council (ERC) under Grant agreement ID: <a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.3030/101044932" >101044932</a>
+- **Funded by:** The European Union under Grant agreement ID: <a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.3030/101044932" >101044932</a>
 - **Language (NLP):** English
 - **License:** apache-2.0
 - **Parent model:** Google's <a target="_blank" rel="noopener noreferrer" href="https://github.com/google-research/bert">`bert-base-uncased`</a>